Robera Geleta

Have fun splitting the bill. It’s a work in progress, but DM me if you’re interested in this App. For the technically curious - made with SwiftUI + TCA

@minilek @AnthropicAI Congrats, Anthropic!

Update: I've joined @AnthropicAI and taken leave from the university. Excited to work with many talented, mission-driven people on the defining technology of our time.

🎥

@_sam_sinha_ @BerntBornich @1x_tech Congrats 🎉

I am SO excited to be sharing that I am joining @BerntBornich and @1x_tech to lead the new 1X World Model Lab aimed at building the next frontier of embodied AI! The core guiding principle of the lab is: scale up along every damn axis!! 🚀 Robotics data is NOT a second-class citizen - it is too important of a problem to be left to fine tuning! Your model needs to see your most important tokens from step 0 We need to think about robotics through the first principles of AI: how do we best utilize the vast amounts of web-scale media and how do we create a data-flywheel to collect millions of hours of rich robot interactions. There is no other moat in AI outside of data and @1x_tech has done an INCREDIBLE job scaling manufacturing, production and hardware to build humanoid robots that can create a unique data-flywheel in unstructured environments. Scaling data collection for highly dexterous on-policy robot data will be the only way for creating a moat in AI. @JackMonas and team have made great progress in building World Models, and now the goal is to supercharge this effort by starting a hyper-focused scale and data-pilled lab. Before scaling compute / data / models, we are currently RAPIDLY scaling our team and hiring across the 4 core pillars of AI: model + data, data infra, ML infra and evals. Looking for folks that are excited about the 0->1 problem and share the same principles as us. There’s a single application for everyone in the lab - if you’re a good at engineering and ML, we will find a place for you in the team ❤️ AGI won’t be solved by fine-tuning… Let’s build the next frontier of AI together 🚀 My DMs are always open!!

We are launching Open Physical AI Lab at Luma to solve generalization in robotics We believe general physical AI is the most consequential problem to solve to improve life on Earth. Allowing one or very few companies to control the entire intelligence and physical infrastructure of the world is a profound threat to the world. This is the path LLMs took, and it is the path physical AI is on today. To solve this problem of generalization in physical AI and to maximally benefit all of humanity, we are establishing the Open Science Physical AI Lab (OPAL Lab) at Luma. Today, physical AI and robotics are in the pre-AI-scale era. Unlike LLMs and multimodal models which are capable of solving a wide range of previously seen and unseen problems, robots are trained on and can only replay specific tasks in specific environments from small scale examples, limiting their utility. Physical AI has a data gap, creating a generalization crisis. The default solution is to simply scale teleoperation to capture data across every possible task and combination of tasks – a physically and economically impossible approach. Over the past 4 years, through fundamental research on multimodal AI, Luma has trained frontier foundation models in 3D, image, video, and unified language-visual generation. In this process, we have built vast infrastructure to make sense of raw internet-scale multimodal data and train efficient generative models with it. Building these systems has given us unique insights into how raw multimodal data can be used to learn physics, perception, reasoning and interaction with the physical world. Over the past few months, mounting empirical evidence from our work on Unified Models has turned this realization into a strong scientific conviction. Generalization is not unique to text. The Open Physical AI Lab will research and scale methods to solve generalization and develop World Models for understanding and interaction with the physical world. This generalization will lead to robot systems proliferating everywhere - factories, research labs, hospitals, streets, and even our homes. Given the societal and economic upside, this transition will be faster than any other technology in history and these systems will be embedded into every layer of human life. Physical AI will help us solve labor shortage and stagnation plaguing world economies. Physical AI will become the means of production in every nation. Allowing one or very few companies to control the entire intelligence and physical infrastructure of the world is a profound threat to humanity and democratic freedom. This is the path LLMs took, and it is the path physical AI is on today. To reverse this trajectory, this lab will be an open science effort. We will use our scale and expertise to build the substrate and make it available so that any dedicated group of people can use it, modify it, and assemble it into systems of productive work. To accelerate progress, we will collaborate with our peer labs and academia on core research, build evaluations to measure progress and assess safety, and partner with industry leaders on chips, hardware, and physical agent systems. If you share this conviction and believe that this foundation should be built in the open for the benefit of all humanity, please come work with us.

Frame it

@tuhin @tylerangert Same

@tylerangert Yo! Can I get in on the TF?

we're working on a new photo search engine called Angles. it's focused on doing one thing well: finding photos + videos by visual similarity. here is raw, unedited footage of me going through my 80,000 photo camera roll *in realtime* with text-to-image search, image-to-image search, "find similar" inside of a photo, and "live search" with the camera. all done with local models and completely private. auto-growing albums coming soon :-) Angles has been exceptionally useful for my friends who do creative work. when words fail to describe what you are looking for, you can simply tap on any asset and instantly see everything else like it across your entire library. we're in early beta - if you want access please send a DM to @patinasystems with your testflight email! i have spots available for another 50 people

Launch day 🚀

The research team really cooked. I'm going to be using this a lot. Congrats !! @shenbokui & @_sam_sinha_

Introducing Luma Agents. Creative agents that make you prolific. You set the direction. They build with you, seeing what you see and helping teams explore further, iterate faster, and watch ideas multiply.

@Dimillian Fr

This is truly the new todo list app

New Modify is amazing, and Character reference is my favorite both w/ or w/o Modify.

Hiring Chief of Staff - help me scale Luma and build a generational AGI company. The most critical thing is ability to execute and solve hard problems. Especially biasing towards former and current founders. Send an email to chiefofstaff@lumalabs.ai with your track record of solving problems. cnbc.com/2025/11/19/lum…

Excited to keep building cooler things!

@jmtrivedi @wabi @joonasvirtanen 🤌

I collaborated with @wabi and @joonasvirtanen to bring this incredible intro sequence to life, and I’d love to share it with you! We wanted way more flexibility than Liquid Glass, so I made a custom glass shader that refracts + disperses light. More technical details soon :)

@bnj @variantui 😅

If you want your generations to feel designed and not…generated We hid a few invite codes to @variantui in this video The first 100 get unlimited credits, reply for a hint

Ray3 sets a new bar for generative video. Independent evaluations confirm state of the art realism, motion, fidelity, and instruction following. As the first HDR video model, it delivers cinematic depth, color, and realism for creative pros across every industry.

Clear day in the city

@lexfridman 🛩️